
Pet Shop Bots: BEHAVIOR
About this episode
Andy and Dave discuss the latest in AI news and research, including:
0:46: The GAO releases a more extensive report on US Federal agency use of facial recognition technology, including what purposes.
3:24: The US Department of Homeland Security Science and Technology Directorate publishes its AI and ML Strategic Plan, with an implementation plan to follow.
5:39: Ada Lovelace Institute, AI Now Institute, and Open Government Partnership publish a global study on Algorithmic Accountability for the Public Sector, which focuses on accountability mechanisms stemming from laws and policy.
9:04: Research from North Caroline State University shows that the benefits of autonomous vehicles will outweigh the risks, with proper regulation.
13:18: Research Section Introduction
14:24: Researchers at the Allen Institute for AI and the University of Washington demonstrate that artificial agents can learn generalizable visual representation during interactive gameplay, embodied within an environment (AI2-THOR); agents demonstrated knowledge of the principles of containment, object permanence, and concepts of free space.
19:37: Researchers at Stanford University introduce BEHAVIOR (Benchmark for Everyday Household Activities in Virtual, Interactive, and ecOlogical enviRonments), which establishes benchmarks for simulation of 100 activities that human often perform at home.
24:02: A survey examines the dynamics of research communities and AI benchmarks, suggesting that hybrid, multi-institution, and persevering communities are the ones more likely to improve state-of-the-art performance, among other things.
28:54: Springer-Verlag makes Representation Learning for Natural Language Processing available online.
32:09: Terry Sejnowski and Stephen Wolfram publish a three-hour discussion on AI and other topics.
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